Roman Keeney

The Indirect Land Use Impacts of United States Biofuel Policies: The Importance of Acreage, Yield, and Bilateral Trade Responses

Recent work has highlighted agricultural land conversion as a significant debit in the greenhouse gas accounting of ethanol as an alternative fuel. This work has at the same time sparked considerable debate on the role of crop yield growth as a means of avoiding rapid land conversion. We examine the agricultural land use impacts of mandate driven ethanol demand increases in the United States in a formal economic equilibrium framework which allows us to examine the importance of yield price relationships. We find that the standard assumption of trend yield growth is likely restrictive for analysis of equilibrium response to significant demand increases for fuel feedstocks. Furthermore, we identify both the acreage response and bilateral trade specification of a multi-country model as important sources of variability (in terms of parametric uncertainty) in predicting global land use change from the biofuels boom.

Why Isn't the Doha Development Agenda more Poverty Friendly?

Critics of the Doha Development Agenda rightly point to the lack of aggressive reform in wealthy countries for its role in dampening developing country gains. The authors find that the absence of tariff cuts on staple food products in developing countries also critically limits poverty reduction in those countries. Based on their analysis of the impacts of multilateral trade policy reforms in a sample of 15 developing countries, they find there is some evidence of poverty increases amongst the poor who work in agriculture when they lose protection for their earnings. However, these effects are minimized when agricultural tariffs are cut in all developing countries, and when the impact of lower food prices on low income consumers is taken into account in their 15 country sample.

Assessing Global Computable General Equilibrium Model Validity Using Agricultural Price Volatility

Computable General Equilibrium (CGE) models are commonly used for global agricultural market analysis. Concerns are sometimes raised, however, about the quality of their output since key parameters may not be econometrically estimated and little emphasis is generally given to model assessment. This article addresses the latter issue by developing an approach to validating CGE models based on the ability to reproduce observed price volatility in agricultural markets. We show how patterns in the deviations between model predictions and validation criteria can be used to identify the weak points of a model and guide development of improved specifications with firmer empirical foundations.

OECD DOMESTIC SUPPORT AND THE DEVELOPING COUNTRIES

An AGE model with detailed farm supply and substitution relationships is used to analyze impacts of OECD domestic support reform on developing economy welfare. Stylized simulations indicate reforms best suited for reducing trade distortions with least impact on farm incomes. Comprehensive reforms result in welfare losses for LDCs and large declines in OECD farm incomes. Shifting from market price support to land-based payments designed to maintain farm incomes results in increased welfare for most developing countries. LDCs should focus on improved market access to OECD economies while permitting said economies to continue domestic support payments not linked to output/variable inputs.

Environmental Externalities and Residential Property Values: Externalized Costs along the House Price Distribution

This study examines the impacts of animal agricultural facilities on the value of residential housing. Through a quantile regression framework we are able to show that the estimated price impacts are not uniform across the distribution of housing prices, and a statistically significant relationship exists only for houses at or above median price levels. These estimated price impacts also increase as the percentile increases. For comparison, the model also includes the proximity to three other waste facility types: industrial, solid, and septic. Our dataset features 14,785 single-family residential transactions in Tippecanoe County, Indiana, over the period 1993–2006. (JEL Q51)